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Advance Fall Risk Prediction and Rehabilitation with Cutting-Edge Sensing Technologies! Are you passionate about research that makes a real difference in people’s lives and society? Do you thrive
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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
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, manufacturers and policymakers in enabling more sustainable user practices across product acquisition, use and end-of-life phases. About us The position is located at the Division of Environmental Systems
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gathering knowledge about the diverse physical and geometric properties of objects and dynamic changes in the environment. This involves leveraging rich sensory data—such as vision and touch—encoding
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Rosén and Andreas Lindhe (Department of Architecture and Civil Engineering ). We have a strong network with national and international organizations within academia, public authorities and industry. About
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industry. About the research project You will work in the project “Turbulent ship wakes and their effects on the marine environment”, which is a continuation of our pioneering work focused on
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University of Technology as principals. About us Our division, Data Science and AI (DSAI) at CSE conducts research in cooperation with partners in academia, industry, public, and cultural sectors; and has
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focused on high-throughput microanalysis to reveal how tramp elements introduced during recycling impact microstructure and properties in aluminium mega-castings. About us The PhD position is placed
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. About us The PhD position is placed at the Division of Material and Computational Mechanics . We foster an inclusive, friendly, and helpful work environment to which we welcome you to contribute. Our
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, semiconductor technology and metrology that are part of the SWEET project. About us The position is hosted by the Microwave Electronics Laboratory at MC2 where the PhD student will have access to several